Displaying 2 results from an estimated 2 matches for "diffnormal_16001a".
2011 Jun 14
1
problems with plots in loop (corrected Email)
...enerated
individually. This indicates that the data sets are fine.
Pulling the results from a nonlinear regression to more than 90 data
sets from a list (resultslist[[i]])
Generating the first derivative and multiply it by 100 to adjust for the
scale.
Here is the code.
pdf('F:/diffnormal_16001a.pdf')
par(mfcol = c(4,2))
for(i in 1: 92){
fit <- NULL
der <- NULL
Zeit <- NULL
Zeit <- seq(0,300)
try(guess <- predict(resultslist_1600[[i]]) )
if(class(guess) == "try-error") {next}
fit <- smooth.spline(Zeit, guess)
der <- 100...
2011 Jun 14
0
problems with plots in loop
...enerated
individually. This indicates that the data sets are fine.
Pulling the results from a nonlinear regression to more than 90 data
sets from a list (resultslist[[i]])
Generating the first derivative and multiply it by 100 to adjust for the
scale.
Here is the code.
pdf('F:/diffnormal_16001a.pdf')
par(mfcol = c(4,2))
for(i in 1: 92){
fit <- NULL
der <- NULL
Zeit <- NULL
Zeit <- seq(0,300)
try(guess <- predict(resultslist_1600[[i]]) )
if(class(guess) == "try-error") {next}
fit <- smooth.spline(Zeit, guess)
der <- 100...